Modeling the spatial and temporal dispersal of Cuscuta europea (Cuscutaceae)

• Autorzy: Méri Á. , Karsai J.
• Języki publikacji: EN

Abstrakty

EN

Cuscuta species are interestingly behaving plant parasites of very different plant communities all over the world. Under warmer climate conditions they can act as dangerous pests, while in the northern countries they are considered as threatened species. Moreover these plants have a special strategy to find their host, called foraging. Chemical clues emitted by the host plants attract the parasite shoots to the most proper host. Recent papers investigate the host preference of Cuscuta species. In our research, we examine the appearing spatial patterns with both experimental and modelling tools. Our objective is to reproduce this phenomenon in the virtual space and find the model, which best describes the emerging spatial patterns. For the modelling cellular automata are used, which are commonly used tools in spatial ecology. These are spatially explicit dynamic models, where both time and space are discrete. The graphical representation is a squared lattice. Every square – also called cell – in the lattice has a state (e.g. soil, plant, parasite) represented with an appropriate colour. In this paper we present the results of our field observations as well as the mathematical models considered.

Słowa kluczowe

EN

Cuscuta; parasite; cellular automata; spatial pattern analysis

PL

kanianka; pasożyt; automat komórkowy

• Wydawca: Museum and Institute of Zoology, Polish Academy of Sciences
• Czasopismo: Polish Journal of Ecology
• Rocznik: 2013
• Tom: Vol. 61, nr 4
• Strony: 811--817
• Opis fizyczny: Bibliogr. 18 poz., il.

Twórcy

autor

Méri Á.

• Department of Ecology, University of Szeged, 52 Közép fasor, Szeged, 6726

autor

Karsai J.

• Bolyai Institute, University of Szeged, 1 Aradi vértanúk tere, Szeged, 6720

Bibliografia

• 1. Albert M., Belastegui-Macadam X., Bleischwitz M., Kaldenhoff R. 2008 – Cuscuta spp.: Parasitic plants in the spotlight of plant physiology, economy and ecology – Prog. Bot. 69: 266–267.
• 2. Aly R. 2007 – Conventional and biotechnological approaches for control of parasitic weeds – In Vitro Cell. Dev. Biol.: Plant, 43: 304–317.
• 3. Brauer F., Driessche P, Wu J. 2008 – Mathematical Epidemiology – Springer, Lect. Notes Math. 414 pp.
• 4. Farkas, M. 2001 – Dynamical models in Biology – Academic Press 187 pp.
• 5. Furuhashi H., Furuhashi K. 2011 – The parasitic mechanism of the holostemparasitic plant Cuscuta – J. Plant Interact. 6: 207–219
• 6. Kelly C.K. 1990– Plant Foraging: A Marginal Value Model and Coiling Response in Cuscuta Subinclusa – Ecology, 71: 1916–1925.
• 7. Kelly C.K. 1994 – On the economics of plant growth: stolon length and ramet initiation in the parasitic clonal plant Cuscuta europaea – Evol. Ecol. 8: 459–470.
• 8. Kelly C.K., Horning K. 1999 – Acquisition order and resource value in Cuscuta attenuate – P Natl. Acad. Sci. USA, 96: 13219–13222.
• 9. Kun Á., Oborny B. 2003 – Survival and competition of clonal plant populations in spatially and temporally heterogeneous environments – Community Ecol. 4: 1–20.
• 10. Lanini W.T., Kogan M. 2005 – Biology and Management of Cuscuta in Crops – Cien. Inv. Agr. 32: 127–141.
• 11. Li J., Dong M. 2009 – Fine-scale clonal structure and diversity of invasive plant Mikania micrantha H.B.K. and its plant parasite Cuscuta campestris Yunker – Biological Invasions, 11: 687–695.
• 12. Magyar G., Kertész M., Oborny B. 2005 – Resource transport between ramets alters soil resource pattern: a simulation study on clonal growth – Evol. Ecol. 18: 469–492.
• 13. Magyar G., Oborny B., Kun Á., Stuefer J. 2007 – The importance of plasticity and decision-making strategies for plant resource acquisition in spatio-temporally variable environments: a modeling study – New Phytol. 174: 182–193.
• 14. Marvier M.A., Smith D.L. 1997 – Conservation Implications of Host Use for Rare Parasitic Plant – Conservation Biology, 11: 839–848.
• 15. Oborny B. 1994 – Growth rules in clonal plants and environmental predictability - a simulation study – J. Ecol. 82: 341–351.
• 16. Rácz É.V., Karsai J. 2003 – Computer simulation results for cellular automata models of some ecological systems – Folia Fac. Sci. Nat. Univ. Masarykanae Brunensis, 13: 213–222.
• 17. Runyon J.B., Tooker J.F., Mescher M.C., De Moraes C.M. 2009 – Parasitic plants in agriculture: chemical ecology of germination and host-plant location as targets for sustainable control – Sustainable Agriculture Reviews, 1: 123–136.
• 18. Szymanski B., Caraco T. 1994 – Spatial analysis of vector-borne disease: a four-species model – Evol Ecol. 8: 299–314.